mirror of
https://github.com/gonum/gonum.git
synced 2025-10-05 15:16:59 +08:00
126 lines
2.5 KiB
Go
126 lines
2.5 KiB
Go
// Copyright ©2015 The gonum Authors. All rights reserved.
|
||
// Use of this source code is governed by a BSD-style
|
||
// license that can be found in the LICENSE file.
|
||
|
||
package native
|
||
|
||
import (
|
||
"math"
|
||
|
||
"gonum.org/v1/gonum/blas"
|
||
"gonum.org/v1/gonum/lapack"
|
||
)
|
||
|
||
// Dlansy computes the specified norm of an n×n symmetric matrix. If
|
||
// norm == lapack.MaxColumnSum or norm == lapackMaxRowSum work must have length
|
||
// at least n, otherwise work is unused.
|
||
func (impl Implementation) Dlansy(norm lapack.MatrixNorm, uplo blas.Uplo, n int, a []float64, lda int, work []float64) float64 {
|
||
checkMatrix(n, n, a, lda)
|
||
switch norm {
|
||
case lapack.MaxRowSum, lapack.MaxColumnSum, lapack.NormFrob, lapack.MaxAbs:
|
||
default:
|
||
panic(badNorm)
|
||
}
|
||
if (norm == lapack.MaxColumnSum || norm == lapack.MaxRowSum) && len(work) < n {
|
||
panic(badWork)
|
||
}
|
||
if uplo != blas.Upper && uplo != blas.Lower {
|
||
panic(badUplo)
|
||
}
|
||
|
||
if n == 0 {
|
||
return 0
|
||
}
|
||
switch norm {
|
||
default:
|
||
panic("unreachable")
|
||
case lapack.MaxAbs:
|
||
if uplo == blas.Upper {
|
||
var max float64
|
||
for i := 0; i < n; i++ {
|
||
for j := i; j < n; j++ {
|
||
v := math.Abs(a[i*lda+j])
|
||
if math.IsNaN(v) {
|
||
return math.NaN()
|
||
}
|
||
if v > max {
|
||
max = v
|
||
}
|
||
}
|
||
}
|
||
return max
|
||
}
|
||
var max float64
|
||
for i := 0; i < n; i++ {
|
||
for j := 0; j <= i; j++ {
|
||
v := math.Abs(a[i*lda+j])
|
||
if math.IsNaN(v) {
|
||
return math.NaN()
|
||
}
|
||
if v > max {
|
||
max = v
|
||
}
|
||
}
|
||
}
|
||
return max
|
||
case lapack.MaxRowSum, lapack.MaxColumnSum:
|
||
// A symmetric matrix has the same 1-norm and ∞-norm.
|
||
for i := 0; i < n; i++ {
|
||
work[i] = 0
|
||
}
|
||
if uplo == blas.Upper {
|
||
for i := 0; i < n; i++ {
|
||
work[i] += math.Abs(a[i*lda+i])
|
||
for j := i + 1; j < n; j++ {
|
||
v := math.Abs(a[i*lda+j])
|
||
work[i] += v
|
||
work[j] += v
|
||
}
|
||
}
|
||
} else {
|
||
for i := 0; i < n; i++ {
|
||
for j := 0; j < i; j++ {
|
||
v := math.Abs(a[i*lda+j])
|
||
work[i] += v
|
||
work[j] += v
|
||
}
|
||
work[i] += math.Abs(a[i*lda+i])
|
||
}
|
||
}
|
||
var max float64
|
||
for i := 0; i < n; i++ {
|
||
v := work[i]
|
||
if math.IsNaN(v) {
|
||
return math.NaN()
|
||
}
|
||
if v > max {
|
||
max = v
|
||
}
|
||
}
|
||
return max
|
||
case lapack.NormFrob:
|
||
if uplo == blas.Upper {
|
||
var sum float64
|
||
for i := 0; i < n; i++ {
|
||
v := a[i*lda+i]
|
||
sum += v * v
|
||
for j := i + 1; j < n; j++ {
|
||
v := a[i*lda+j]
|
||
sum += 2 * v * v
|
||
}
|
||
}
|
||
return math.Sqrt(sum)
|
||
}
|
||
var sum float64
|
||
for i := 0; i < n; i++ {
|
||
for j := 0; j < i; j++ {
|
||
v := a[i*lda+j]
|
||
sum += 2 * v * v
|
||
}
|
||
v := a[i*lda+i]
|
||
sum += v * v
|
||
}
|
||
return math.Sqrt(sum)
|
||
}
|
||
}
|